Whisper Transcription API

This project provides a RESTful API for audio transcription using a Whisper model. The API is built with FastAPI and runs in a Docker container.

Prerequisites

Before you begin, ensure you have the following installed:

• Docker
• Docker Compose

Project Structure

.
├── app.py              # Main application file with FastAPI endpoint
├── docker-compose.yml  # Docker Compose configuration
├── Dockerfile          # Dockerfile for building the application image
├── model/              # Directory for Whisper model files
└── requirements.txt    # Python dependencies

Setup

1. Clone the repository:

   git clone https://github.com/SlavaVlad/simple-asr-server
   cd simple-asr-server
   

2. Add API keys:

   Create a keys.txt file in the root of the project and add your API keys, one per line.

Building and Running the Project

You can build and run the project using Docker Compose.

1. Build the Docker image:

   docker-compose build
   

2. Run the container:

   docker-compose up
   

   The application will be available at http://0.0.0.0:9854.

API Endpoint

POST /transcribe

This endpoint accepts an audio file and returns the transcription.

• URL: /transcribe
• Method: POST
• Headers:
  • X-API-Key: Your API key.
• Form Data:
  • file: The audio file to be transcribed.

Example using curl:

curl -X POST "http://localhost:9854/transcribe" \
     -H "X-API-Key: YOUR_API_KEY" \
     -F "file=@/path/to/your/audio.wav"

Successful Response (200 OK):

{
  "transcription": [
    {
      "start_time": 0.0,
      "end_time": 2.5,
      "transcription": "Hello world."
    }
  ],
  "text": "Hello world. ",
  "metrics": {
    "processing_time": 5.2,
    "rtf": 0.5,
    "word_rate": 2.0
  }
}

Error Response (401 Unauthorized):

If the API key is missing or invalid.

{
  "detail": "Invalid API Key"
}